Data4Change Final Project

Airbnb Price Analysis in Europe

This project analyzes Airbnb listings across Europe to understand how location, ratings, and distance from city centers affect pricing.

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Problem Statement

Airbnb prices vary widely across European cities due to demand, location, ratings, and property features. This project explores which factors have the strongest influence on listing prices.

Research Questions

Question 1

Which city has the highest average Airbnb price?

Question 2

Do higher-rated listings cost more?

Question 3

How does distance from the city center affect price?

Conclusion

This project shows that Airbnb prices in Europe are influenced by city location, ratings, and geography. Tourist-heavy cities and highly rated listings tend to have higher prices. The analysis demonstrates how real-world data can reveal patterns in travel and housing markets.